Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI)

Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI)

Abstract The identification of novel drug-target interactions (DTI) is critical to drug discovery and drug repurposing to address contemporary medical and public health challenges presented by emergent diseases. Historically, computational methods have framed DTI prediction as a binary classificatio...

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Bibliographic Details
Main Authors: Kevin Dick, Daniel G. Kyrollos, Eric D. Cosoreanu, Joseph Dooley, Joshua S. Fryer, Shaun M. Gordon, Nikhil Kharbanda, Martin Klamrowski, Patrick N. L. LaCasse, Thomas F. Leung, Muneeb A. Nasir, Chang Qiu, Aisha S. Robinson, Derek Shao, Boyan R. Siromahov, Evening Starlight, Christophe Tran, Christopher Wang, Yu-Kai Yang, James R. Green
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16493-9

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https://doi.org/10.1038/s41598-022-16493-9

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